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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/mix/functor/laplace_marginal_density.hpp>
#include <stan/math/prim/prob/multi_normal_cholesky_rng.hpp>
#include <stan/math/prim/prob/multi_normal_rng.hpp>
Go to the source code of this file.
Namespaces | |
namespace | stan |
The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
namespace | stan::math |
Matrices and templated mathematical functions. | |
Functions | |
template<typename LLFunc , typename LLArgs , typename CovarFun , typename CovarArgs , bool InitTheta, typename RNG , require_t< is_all_arithmetic_scalar< CovarArgs, LLArgs > > * = nullptr> | |
Eigen::VectorXd | stan::math::laplace_base_rng (LLFunc &&ll_fun, LLArgs &&ll_args, CovarFun &&covariance_function, CovarArgs &&covar_args, const laplace_options< InitTheta > &options, RNG &rng, std::ostream *msgs) |
In a latent gaussian model,. | |